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| 1 | Predictors of response to antiviral therapy in patients with chronic hepatitis C from Pakistani population显示文摘背景丙肝病毒(HCV ) 在全世界组成一个主要公共健康问题,特别在开发象巴基斯坦一样的国家。在这研究,我们估计了在长期的丙肝病人的治疗在这研究由性,年龄,和病毒的 load.Methods 分类的干扰素(INF ) 的结果,有遗传型 3 的 750 个 HCV 积极病人被选择,从哪个 616 完成了全部治疗。他们的个人历史,支持处理的 HCV RNA 和浆液丙氨酸 transaminase (中高音) 是 quantified.Patients 与 INF- 2b 的联合治疗被对待 300 万个单位(三次一个星期) 正 ribavirin (1000-1200mg 每天) 为 24 个星期。在 24 个星期以后,他们的 HCV RNA 和浆液中高音水平是从 616 个病人,的 quantified.Results (63.5%) 391 对治疗学的政体(加 ribavirin 的 INF- 2b ) 作出回应。在应答者之中, 27.1% 是男人, 36.4% 是女人。最好的治疗反应在有 Iow 的病人被观察病毒的负担 8 ?????牴湡睳汥 吗?? | Hafsa Aziz Muhammad Amin Athar Shahnaz Murtaza Javaid Irfan Yasir Waheed Iram Bilal Abida Raza | 2011 | Chinese Medical Journal2011，，9： | 6 |
| 2 | PCR Targeting of Antibiotic Resistant Bacteria in Public Drinking Water of Lahore Metropolitan,Pakistan显示文摘Objective To investigate the prevalence of kanamycin(kan) and ampicillin(amp) resistant bacteria in public drinking water.Methods Bacteria containing kan and amp resistant genes were amplified by PCR and further characterized by colony hybridization and transformation studies.The genus of kan and amp resistant bacteria was determined with standard methods.Results Among the 625 drinking water samples,400 contained kan and amp resistant bacteria and the percentage was 42.5% and 57.5%,respectively,which was further confirmed by the amplification of a 810 bp kan resistant gene and a 850 bp amp resistant gene.Of the 170 kan resistant bacteria,90 were Gram negative and 80 were Gram positive.Of the 230 amp resistant bacteria,160 were Gram negative while 70 were Gram positive.Salmonella,Shigella,Staphylococcus,Streptococcus,and E.coli were detected as 13%,11%,17%,30%,and 29%,respectively.Bacterial strain DH5α transformed with plasmids isolated from kan and amp resistant bacteria confirmed that the antibiotic resistant genes were mediated by plasmids.Conclusion Drinking water is contaminated with kan and amp resistant bacteria due to poor sanitary conditions. | ZAHOOR QADIR SAMRA MARIAM NASEEM SUMARIA JAVED KHAN NADIA DAR MUHAMMAD AMIN ATHAR | 2009 | Biomedical and Environmental Sciences2009，22，6： | 1 |
| 3 | Transient cortical blindness:A benign but devastating complication after coronary angiography and graft study显示文摘 | Ganiga Srinivasaiah S Muhammad Athar S Azman W A W | 2014 | Journal of the Pakistan Medical Association2014，64，10： | 1 |
| 4 | Evaluation of prognostic factors for Peg Interferon alfa-2b plus ribavirin treatment on HCV infected patients in Pakistan显示文摘 | Hafsa Aziz Muzaffar Latif Gil Yasir Waheed Uzama Adeeb Abida Raza Iram Bilal Muhammad Amin Athar | 2011 | Infection Genetics and Evolution2011，，3： | 1 |
| 5 | Integrating 3D visualization and simulation for tower crane operations on construction sites显示文摘 | Mohamed Al-Hussein Muhammad Athar Niaz Haitao Yu Hyoungkwan Kim | 2005 | Automation in Construction2005，，： | 1 |
| 6 | Multi-Criteria Decision Making Based on Bipolar Picture Fuzzy Operators and New Distance Measures显示文摘This paper aims to introduce the novel concept of the bipolar picture fuzzy set(BPFS)as a hybrid structure of bipolar fuzzy set(BFS)and picture fuzzy set(PFS).BPFS is a new kind of fuzzy sets to deal with bipolarity(both positive and negative aspects)to each membership degree(belonging-ness),neutral membership(not decided),and non-membership degree(refusal).In this article,some basic properties of bipolar picture fuzzy sets(BPFSs)and their fundamental operations are introduced.The score function,accuracy function and certainty function are suggested to discuss the comparability of bipolar picture fuzzy numbers(BPFNs).Additionally,the concept of new distance measures of BPFSs is presented to discuss geometrical properties of BPFSs.In the context of BPFSs,certain aggregation operators(AOs)named as“bipolar picture fuzzy weighted geometric(BPFWG)operator,bipolar picture fuzzy ordered weighted geometric(BPFOWG)operator and bipolar picture fuzzy hybrid geometric(BPFHG)operator”are defined for information aggregation of BPFNs.Based on the proposed AOs,a new multicriteria decision-making(MCDM)approach is proposed to address uncertain real-life situations.Finally,a practical application of proposed methodology is also illustrated to discuss its feasibility and applicability. | Muhammad Riaz Harish Garg Hafiz Muhammad Athar Farid Ronnason Chinram | 2021 | Computer Modeling in Engineering & Sciences2021，，5： | 1 |
| 7 | Countrywide Survey for MERS-Coronavirus Antibodies in Dromedaries and Humans in Pakistan显示文摘Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is a zoonotic pathogen capable of causing severe respiratory disease in humans. Although dromedary camels are considered as a major reservoir host, the MERS-CoV infection dynamics in camels are not fully understood. Through surveillance in Pakistan, nasal (n = 776) and serum (n = 1050)samples were collected from camels between November 2015 and February 2018. Samples were collected from animal markets, free-roaming herds and abattoirs. An in-house ELISA was developed to detect IgG against MERS-CoV. A total of 794 camels were found seropositive for MERS-CoV. Prevalence increased with the age and the highest seroprevalence was recorded in camels aged [ 10 years (81.37%) followed by those aged 3.1–10 years (78.65%) and B 3 years (58.19%).Higher prevalence was observed in female (78.13%) as compared to male (70.70%). Of the camel nasal swabs, 22 were found to be positive by RT-qPCR though with high Ct values. Moreover, 2,409 human serum samples were also collected from four provinces of Pakistan during 2016–2017. Among the sampled population, 840 humans were camel herders.Although we found a high rate of MERS-CoV antibody positive dromedaries (75.62%) in Pakistan, no neutralizing antibodies were detected in humans with and without contact to camels. | Ali Zohaib Muhammad Saqib Muhammad Ammar Athar Jing Chen Awais-ur-Rahman Sial Saeed Khan Zeeshan Taj Halima Sadia Usman Tahir Muhammad Haleem Tayyab Muhammad Asif Qureshi Muhammad Khalid Mansoor Muhammad Ahsan Naeem Bing-Jie Hu Bilal Ahmed Khan Ikram Din Ujjan Bei Li Wei Zhang Yun Luo Yan Zhu Cecilia Waruhiu Iahtasham Khan Xing-Lou Yang Muhammad Sohail Sajid Victor Max Corman Bing Yan Zheng-Li Shi | 2018 | Virologica Sinica2018，33，5： | 1 |
| 8 | Anxiety and Attitude Of Secondary School Students Towards Foreign Language Leaming显示文摘 | Muhammad Athar Hussaina Saeed Shahidb Amir Zamanc | 2011 | Procedia - Social and Behavioral Sciences2011，，29： | 1 |
| 9 | Integra-ting 3D visualization and simulation for tower crane operations onconstruction sites 显示文摘 | Mohamed Al-Hussein Muhammad Athar Niaz Yu Haitao | 2006 | Automation in Construction2006，15，： | 1 |
| 10 | Fabrication of nickel nanoparticles modified electrode by reverse microemulsion method and its application in electrolytic oxidation of ethanol显示文摘 | Asma Tufail Shah Muhammad Imran Din Umar Farooq Mira Tul Zubaida Butt Makshoof Athar M. Amjad Chaudhary Mirza Nadeem Ahmad M. Latif Mirza | 2012 | Colloids and Surfaces A: Physicochemical and Engineering Aspects2012，，： | 1 |
| 11 | Integrating 3D visualization and simulation for tower crane operations on construction sites 显示文摘 | Mohamed Al-Hussein Muhammad Athar Niaz Haitao Yu | 2006 | Automation in Construction2006，，15： | 1 |
| 12 | Tsc1/Tsc2 complex: A molecular target of capsaicin for protection against testicular torsion induced injury in rats显示文摘Objective: The detailed knowledge about protective effects of capsaicin(cap) and involved mechanisms against testicular torsion(TT) is still not available completely.Methods: Male Wistar rats were assigned into four major cohorts:(i) sham,(ii) TT,(iii) three subgroups subjected to TT and different doses of cap(100, 500, and 1000 μg/mL), and(iv) three subgroups of healthy animals subjected to various concentrations of cap. The animals were decapitated at 24 h after reperfusion, and the evaluation of protein expression was performed by Western blotting assay. At 72 h after reperfusion, apoptotic cell death and tissue injury were evaluated by TUNEL nuclear and H&E staining,respectively.Results: The results showed that cap administration following TT significantly increased the expression of tuberous sclerosis proteins 1 and 2(Tsc1/Tsc2) in a dose-dependent manner(P < 0.05). Cap decreased cell apoptosis at highest dose. Likewise, cap contributed to the preservation of tubular morphology and decreased tissue injury at the highest tested concentration(1000 μg/m L).Conclusion: Collectively, our findings demonstrate the validity of cap as a therapeutic agent against TT through targeting Tsc1/Tsc2 in a dose-dependent manner. | Nasim Javdan Seyed Abdulmajid Ayatollahi Muhammad Iqbal Choudhary Safaa Al-Hasani Farzad Kobarfard Kobra Mokhtarian Majid Khoshmirsafa Athar Ata | 2019 | Chinese Herbal Medicines2019，11，2： | 1 |
| 13 | Pythagorean fuzzy prioritized aggregation operators with priority degrees for multi-criteria decision-making显示文摘Purpose-The authors develop some prioritized operators named Pythagorean fuzzy prioritized averaging operator with priority degrees and Pythagorean fuzzy prioritized geometric operator with priority degrees.The properties of the existing method are routinely compared to those of other current approaches,emphasizing the superiority of the presented work over currently used methods.Furthermore,the impact of priority degrees on the aggregate outcome is thoroughly examined.Further,based on these operators,a decision-making approach is presented under the Pythagorean fuzzy set environment.An illustrative example related to the selection of the best alternative is considered to demonstrate the efficiency of the proposed approach.Design/methodology/approach-In real-world situations,Pythagorean fuzzy numbers are exceptionally useful for representing ambiguous data.The authors look at multi-criteria decision-making issues in which the parameters have a prioritization relationship.The idea of a priority degree is introduced.The aggregation operators are formed by awarding non-negative real numbers known as priority degrees among strict priority levels.Consequently,the authors develop some prioritized operators named Pythagorean fuzzy prioritized averaging operator with priority degrees and Pythagorean fuzzy prioritized geometric operator with priority degrees.Findings-The authors develop some prioritized operators named Pythagorean fuzzy prioritized averaging operator with priority degrees and Pythagorean fuzzy prioritized geometric operator with priority degrees.The properties of the existing method are routinely compared to those of other current approaches,emphasizing the superiority of the presented work over currently used methods.Furthermore,the impact of priority degrees on the aggregate outcome is thoroughly examined.Further,based on these operators,a decision-making approach is presented under the Pythagorean fuzzy set environment.An illustrative example related to the selection of the best alternative is considered to demonstrate the efficiency of the proposed approach.Originality/value-The aggregation operators are formed by awarding non-negative real numbers known as priority degrees among strict priority levels.Consequently,the authors develop some prioritized operators named Pythagorean fuzzy prioritized averaging operator with priority degrees and Pythagorean fuzzy prioritized geometric operator with priority degrees.The properties of the existing method are routinely compared to those of other current approaches,emphasizing the superiority of the presented work over currently used methods.Furthermore,the impact of priority degrees on the aggregate outcome is thoroughly examined. | Hafiz Muhammad Athar Farid Muhammad Riaz | 2022 | International Journal of Intelligent Computing and Cybernetics2022，15，4： | 0 |
| 14 | Hierarchical medical diagnosis approach for COVID-19 based on picture fuzzy fairly aggregation operators显示文摘In Pakistan, a hierarchical healthcare system is an efficient way of addressing the issueof limited and insufficient healthcare services. Identifying the various degrees of diseasebased on the doctor's diagnosis is an important step in developing the hierarchical healthcaretreatment structure. This research presents a framework for dealing with the issueof diagnosis values presented as 'picture fuzzy numbers (PFNs)'. Specifically, the goal ofthis study is to establish some innovative operational laws and 'aggregation operators'(AOs) in a picture fuzzy environment. In this regard, we proposed some new neutral orfair operational laws that incorporate the concept of proportional distribution in orderto achieve a neutral or fair remedy to the positive, neutral and negative aspects ofPFNs. Based on the developed operational laws, we proposed the 'picture fuzzy fairlyweighted average operator' and the 'picture fuzzy fairly ordered weighted averagingoperator'. Compared to previous techniques, the proposed AOs provide more generalizedand reliable. Furthermore, using proposed AOs with multiple decision-makers andpartial weight information under PFNs, a 'multi-criteria decision-making' algorithmis developed. Finally, we provide an example to show how the novel approach can aidhierarchical treatment systems. This is essential for merging the healthcare capabilitiesof the general public and optimizing the medical care system's service performance. | Muhammad Riaz Hafiz Muhammad Athar Faridt | 2023 | International Journal of Biomathematics2023，16，2： | 0 |
| 15 | Catalytic Reduction of Coomassie Brilliant Blue R-250 by Silver Nanomagnetic Clusters显示文摘The research work represents the synthesis of silver nanoparticles(AgNPs)coated on magnetic iron oxide nanoparticles by chemical reduction and co-precipitation method,respectively.AgNPs were coated on magnetic ironoxide nanoparticles to form Ag@Fe3O4.AgNPs were characterized by UV-Visible spectroscopy.The magnetic nanoparticles(MNPs)and magnetic nanoclusters(MNC)were characterized by Fourier transform infra red(FTIR)spectroscopy.Bulk density,moisture content and ash content were also determined.These MNCs were used for the reduction of 4-nitrophenol(4-NP)and coomassie Brilliant Blue R-250(CBBR-250).The parameters such as effect of time,catalyst dosage,concentration of sodium borohydride and concentration of 4-NP and dye were studied.It was found that the catalytic reduction of 4-NP and dye were in 20 minutes by MNCs.Kinetic analysis shows that the pseudo-first-order was found to be linear.It revealed that the use of these MNCs can be considered as a reliable method for the catalytic reduction studies. | Madiha Ishaq Umar Farooq Muhammad Salman Muhammad Makhshoof Athar | 2021 | 材料科学与工程(中英文B版)2021，11，1： | 0 |
| 16 | Integrated Hazard Identification(IHI):A Quick Accident Analysis and Quantification Method for Practitioners显示文摘There are many techniques for hazard identification and are divided into shortcut,standard and advanced techniques.Among these,HAZOP and What-If techniques are mostly engaged by practitioners in the chemical process industry.Both of these have certain advantages and limitations,i.e.,HAZOP is structured,and what-if covers broad range of scenarios.There is no hazard identification method,which can cover a broad range of scenarios and is structured in nature.For this purpose,a new technique namely integrated hazard identification(IHI)is proposed in this article that integrates HAZOP and What-If.The methodology is demonstrated via hazard identification study of urea synthesis section.Risk ranking is used to sort out the worst-case scenario.This worst-case scenario is further studied in detail for quantification that is performed using the ALOHA software.This quantification has assisted to detect ammonia concentrations in nearby control room and surroundings for worst-case scenario.It is revealed that if ammonia pump is not stopped within 10 minutes,concentration inside and outside the control room may reach to 384 ppm and 2630 ppm,compared to 1100 ppm(AEGL-3).Thus the proposed method would be easy,time saving and covers more details and would be handy for practicing engineers working in different chemical process industries. | Muhammad Imran Rashid Muhammad Athar Izzat Iqbal Cheema Emad Benhelal | 2021 | Non-Metallic Material Science2021，3，2： | 0 |
| 17 | Microwave-assisted pre-ionization experiments on GLAST-Ⅲ显示文摘GLAss Spherical Tokamak(GLAST-Ⅲ)is a spherical tokamak with an insulating vacuum vessel that has a unique single-passage capability for incident microwaves.In this work,electron cyclotron resonance heating(ECRH)-assisted plasma pre-ionization in GLAST-Ⅲis explored for three radio-frequency(RF)polarizations(the O-,X-,and M-modes)at different toroidal-field(TF)strengths and filled gas pressures.The optimum hydrogen pressure is identified for efficient plasma pre-ionization.A comparison of the plasma pre-ionizations initiated by the O-,X-,and M-modes shows prominent differences in the breakdown time,location,and wave absorption.In the case of O-mode polarization,microwave absorption occurs for a relatively shorter duration,resulting in a bell-shaped electron-temperature(Te)temporal profile.Microwave absorption is dominant in the case of the X-mode,leading to a broader Te temporal profile.The M-mode discharge contains features of both the X-and O-modes.Efficient plasma pre-ionization is achieved in the X-mode polarization for the intermediate TF strengths(with a central toroidal magnetic field B0=0.075 T).Traces of the electron-number density show a similar tendency,as revealed by Te.These results suggest that the X-mode is the best candidate for efficient plasma pre-ionization at low filled gas pressures(10-2 Pa)in small tokamaks. | Riaz KHAN Sehrish SHAKIR Ahmad ALI Muhammad Khawar AYUB Moazzam NAZIR Zia UR-REHMAN Abdul QAYYUM Muhammad Athar NAVEED Sarfraz AHMAD Zahoor AHMAD Rafaqat ALI Shahid HUSSAIN | 2021 | Plasma Science and Technology2021，23，8： | 0 |
| 18 | Early Detection of Autism in Children Using Transfer Learning显示文摘Autism spectrum disorder(ASD)is a challenging and complex neurodevelopment syndrome that affects the child’s language,speech,social skills,communication skills,and logical thinking ability.The early detection of ASD is essential for delivering effective,timely interventions.Various facial features such as a lack of eye contact,showing uncommon hand or body movements,bab-bling or talking in an unusual tone,and not using common gestures could be used to detect and classify ASD at an early stage.Our study aimed to develop a deep transfer learning model to facilitate the early detection of ASD based on facial fea-tures.A dataset of facial images of autistic and non-autistic children was collected from the Kaggle data repository and was used to develop the transfer learning AlexNet(ASDDTLA)model.Our model achieved a detection accuracy of 87.7%and performed better than other established ASD detection models.Therefore,this model could facilitate the early detection of ASD in clinical practice. | Taher M.Ghazal Sundus Munir Sagheer Abbas Atifa Athar Hamza Alrababah Muhammad Adnan Khan | 2023 | Intelligent Automation & Soft Computing2023，，4： | 0 |
| 19 | Smart Energy Management System Using Machine Learning显示文摘Energy management is an inspiring domain in developing of renewable energy sources.However,the growth of decentralized energy production is revealing an increased complexity for power grid managers,inferring more quality and reliability to regulate electricity flows and less imbalance between electricity production and demand.The major objective of an energy management system is to achieve optimum energy procurement and utilization throughout the organization,minimize energy costs without affecting production,and minimize environmental effects.Modern energy management is an essential and complex subject because of the excessive consumption in residential buildings,which necessitates energy optimization and increased user comfort.To address the issue of energy management,many researchers have developed various frameworks;while the objective of each framework was to sustain a balance between user comfort and energy consumption,this problem hasn’t been fully solved because of how difficult it is to solve it.An inclusive and Intelligent Energy Management System(IEMS)aims to provide overall energy efficiency regarding increased power generation,increase flexibility,increase renewable generation systems,improve energy consumption,reduce carbon dioxide emissions,improve stability,and reduce energy costs.Machine Learning(ML)is an emerging approach that may be beneficial to predict energy efficiency in a better way with the assistance of the Internet of Energy(IoE)network.The IoE network is playing a vital role in the energy sector for collecting effective data and usage,resulting in smart resource management.In this research work,an IEMS is proposed for Smart Cities(SC)using the ML technique to better resolve the energy management problem.The proposed system minimized the energy consumption with its intelligent nature and provided better outcomes than the previous approaches in terms of 92.11% accuracy,and 7.89% miss-rate. | Ali Sheraz Akram Sagheer Abbas Muhammad Adnan Khan Atifa Athar Taher M.Ghazal Hussam Al Hamadi | 2024 | Computers, Materials & Continua2024，78，1： | 0 |
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